Evidence map›Paper›PMID 42684103›Full record

ArticleJournal of vision2026

Narrowing the gap between analytically convenient and naturalistic stimuli.

Jonathan D Victor

Abstract read
In one paragraph

Article in Journal of vision, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jonathan D VictorFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.

Funding

CENTRAL PROCESSING OF VISUAL INFORMATIONR01EY007977 · NEI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Jonathan D Victor · 1989 to 2026
$9.0M
NEI NIH HHS R01 EY007977
6 · The paper itself

Abstract

The gulf between mathematically motivated stimuli-such as sine waves and noise ensembles-and images drawn from natural scenes may not be as wide as it appears. For the former, the mathematical properties that support their utility as analytic probes are explicit. For naturalistic stimuli, this is not the case, but they are created by physical processes whose outcomes-at least in principle-heavily constrain their statistics. Images generated computationally occupy a middle ground: Their mathematical properties remain implicit in the rules that generate them, but these rules are simpler than the processes that generate natural images. It is suggested that a greater understanding of the statistics of natural images, while challenging, will enhance their utility as experimental tools and thereby lead to new insights into the design principles of sensory systems.

Indexed as

Photic StimulationVisual PerceptionHumans

Identifiers

PMID42684103
PMCPMC13549408

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.